Gemma 2 27B by Google is an open model built from the same research and technology used to create the [Gemini models](/models?q=gemini). Gemma models are well-suited for a variety of text generation tasks, including question answering, sum…
Model details →Google: Gemma 2 27B vs Sao10K: Llama 3.1 70B Hanami x1
Google: Gemma 2 27B wins on 2 of 6 axes — pricing and capability skew in its favour for most workloads.
This is [Sao10K](/sao10k)'s experiment over [Euryale v2.2](/sao10k/l3.1-euryale-70b).
Model details →Side-by-side comparison
| Capability | Google: Gemma 2 27B | Sao10K: Llama 3.1 70B Hanami x1 | Winner |
|---|---|---|---|
| Context window Maximum number of input tokens the model can attend to in a single request. | 8K | 16K | 🏆 Sao10K: Llama 3.1 70B Hanami x1 |
| Input price (per 1M) Cost per million input tokens billed by the provider. | $0.65 | $3.00 | 🏆 Google: Gemma 2 27B |
| Output price (per 1M) Cost per million output tokens billed by the provider. | $0.65 | $3.00 | 🏆 Google: Gemma 2 27B |
| Tool / function calling First-class support for emitting structured tool calls. | — | — | Tie |
| Vision input Accepts image inputs alongside text. | — | — | Tie |
| Reasoning mode Internal chain-of-thought / extended-thinking support. | — | — | Tie |
Frequently asked questions
Is Google: Gemma 2 27B better than Sao10K: Llama 3.1 70B Hanami x1?
Google: Gemma 2 27B wins on 2 of 6 axes — pricing and capability skew in its favour for most workloads.
What's the price difference between Google: Gemma 2 27B and Sao10K: Llama 3.1 70B Hanami x1?
Input: $0.65 vs $3.00 per 1M tokens. Output: $0.65 vs $3.00 per 1M tokens.
What context windows do Google: Gemma 2 27B and Sao10K: Llama 3.1 70B Hanami x1 support?
Google: Gemma 2 27B supports up to 8K tokens. Sao10K: Llama 3.1 70B Hanami x1 supports up to 16K tokens.
Do both Google: Gemma 2 27B and Sao10K: Llama 3.1 70B Hanami x1 support tool calling?
Google: Gemma 2 27B: not advertised. Sao10K: Llama 3.1 70B Hanami x1: not advertised.